Design and Implementation of Industrial Enterprise Energy Management Platform Based on Big Data
In view of the increasing attention of industrial enterprises to energy control and the problems of existing energy management platforms,an energy management platform for industrial enterprises based on big data is developed. Big data algorithms are used to analyze energy-related multi-source heterogeneous data to help energy management platforms further improve the analysis ability of energy-saving strategies. Through the collection,statistics,mining,analysis and comprehensive display of energy-related data,and based on algorithm models such as Gaussian mixture model,K-means clustering,principal component analysis,artificial neural network and association rule mining,the refined control and energy-saving strategy analysis and application of industrial enterprises are realized. The platform can effectively improve the level of energy management and realize the closed-loop from monitoring to governance,and provide efficient information support for the integrated energy management of industrial enterprises. At present,the platform has been applied in related enterprises and achieved good results.
big dataenergy management platformenergy-saving strategydata mining analysis
万方数据
维普
